I am a full Professor at the University Paris-Saclay. My research interests include data science and bioinformatics, biological data integration, reproducibilty of bioinformatics pipelines, scientific workflows, provenance, and ranking.
Current activities
Research
I am the project coordinator of the ShareFAIR project that aims at sharing reliable protocols to transform datasets into gold standards, applied to Neuro-Vascular Pathologies. ShareFAIR involves 9 partners and is an axis of the PEPR "Santé Numérique".
I head the Bioinformatics group at LISN.
I am deputy director of the DATAIA institute and I co-coordinate the "DATAIA AI-cluster", pole of excellence in artificial intelligence research and training.
Teaching
I coordinate the Master of Bioinformatics at the University Paris-Saclay and co-coordinate the M1-M2 master tracks BIBS - AMI2B.
I am the project coordinator of the SaclAI-School training program at the Paris-Saclay University, which aims to train everyone in Artificial Intelligence, from AI acculturation to Artificial Intelligence expertise.
I am the project coordinator of the ShareFAIR project that aims at sharing reliable protocols to transform datasets into gold standards, applied to Neuro-Vascular Pathologies. ShareFAIR involves 9 partners and is an axis of the PEPR "Santé Numérique".
I head the Bioinformatics group at LISN.
I am deputy director of the DATAIA institute and I co-coordinate the "DATAIA AI-cluster", pole of excellence in artificial intelligence research and training.
Teaching
I coordinate the Master of Bioinformatics at the University Paris-Saclay and co-coordinate the M1-M2 master tracks BIBS - AMI2B.
I am the project coordinator of the SaclAI-School training program at the Paris-Saclay University, which aims to train everyone in Artificial Intelligence, from AI acculturation to Artificial Intelligence expertise.
News
Paper accepted at NAR Genomics and Bioinformatics
Our paper on BioFlow-Insight: facilitating reuse of Nextflow workflows with structure reconstruction and visualization got accepted at NAR Genomics and Bioinformatics.
It has been selected as part of the Editor's choice articles.
Paper accepted at eScience 2024
Our paper on Reproducibility in Named Entity Recognition: A Case Study Analysis got accepted at eScience 2024 (collaborative work with Nona Naderi and Carlos Cuevas Villarmin).
CNRS silver medal
I am happy to share that I have been awarded the CNRS silver medal in 2024: https://www.ins2i.cnrs.fr/fr/cnrsinfo/science-des-donnees-et-interdisciplinarite-sarah-cohen-boulakia-recompensee-par-le-cnrs.